Learning Dynamics from Bilinear Observations by Sarah Dean
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Towards Gain-optimal ISS Controllers for Finite State Systems by Antoine Girard
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Planning and Discussion Session
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Aligning Robot and Human Representations by Andreea Bobu
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Learning-based Planning and Control: Opportunities and Challenges by J. How
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IFAC Industry Connect: Automation & Control: An Integral Part of Process...
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Dynamics and Control of Differential Learning by Stefano Soatto (UC Berkeley)
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Learning Certifiably Safe Control for Large-scale Autonomous Systems by C Fan
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Cheating with Neural Networks by Zico Kolter
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Machine Learning: Bane Or Boon For Control? by Miroslav Krstic @CDC2023
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Understanding the Utility of Haptic Feedback in Telerobotic Devices by J Brown
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Efficient Reinforcement Learning When Data is Costly by Emma Brunskill
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Bridging the Gap Between Planning and Control: A Cascaded MPC Approach by J Z Lu
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New Complexities in New Aviation: UTM, UAM, and RAM by Raja Sengupta
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Enabling a Responsive Grid with Distributed Load Control and Optimization
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A Practitioner’s Perspective by Manfred Morari
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Direct Adaptive Learning of the LQR by Florian Dörfler
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The Shades of Reinforcement Learning by John Tsitsiklis
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Embedded Convex Optimization for Control by Stephen Boyd
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Feedback in Wafer Scanners: Use the Unstable by Marcel Heertjes @ CCTA 2021
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Driving the Elephant through the Landscape of Deep Networks Stefano Soatto
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Frontiers of Autonomous Space Systems by Giusy Falcone
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How Much Uncertainty Can the Feedback Mechanism Deal With? by Lei Guo @IFAC2014
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Optimizing Intended Cost Functions by Anca Dragan
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Learning for Safety-Critical Control in Dynamical Systems by Yisong Yue
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Dual Control Revisited by Anders Rantzer @ CDC 2024
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Infusing Physics and Structure into Machine Learning by Anima Anandkumar
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Towards Collective Artificial Intelligence by Radhika Nagpal @ IROS2022
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Mathematics of Deep Learning by René Vidal @ ACC2019
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Bionic Learning Network – Inspired by Nature by Heinrich Frontzek @IFAC2014
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The Joy of Exploring the Emerging Dynamics of Integrated Systems by Jing Sun
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Learning and Control for Safety, Efficiency, and Resiliency of Embodied AI
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The Impact of Model-Based Design on Controls: Today & in the Future by J Little
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Physics-Guided Data-Driven Modeling for Control in Additive Manufacturing
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Regret-Optimal Control by Babak Hassibi
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Safe and Efficient Exploration in Reinforcement Learning by Andreas Krause
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Prediction, Estimation, and Control Of Connected & Autonomous Vehicles by J. Sun
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Pioneering the Future Aerospace by Charles Champion and Grazia Vittadini
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Resilience in State Estimation and System Identification by Laurent Bako
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“Control Meets Neuroscience” Panel Discussion @ IFAC 2020
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Livestream of the 2nd L4DC conference (Day 2)